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I'm following the Polycam example and am using an export of a stairwell room. After running the interface and Densify point clound, i still seem to be missing a lot of points. this is causing the meshes and textures to be incomplete compared to that of Polycam. Thisis the case for a few other scans i've run.
Could you help me understand what steps i can take to fill in more points and get us closer to the polycam result?
I've tried:
increasing and decreasing --number-views
using and not using --max-resolution
with and without --tower-mode as well as different tower mode flags
running DensifyPointCloud multiple times
Sample Dataset is here on GDrive - stairwell-poly.zip.
Inside it there is a folder called working/job which has the logs and all the work done for the particular scan shown below.
Here is the GLB file exported from polycam to show the result (We will be doing obj, but gltb is free:) )
Yesterday I attempted to rerun the DensifyPointCloud and included --postprocess-dmaps 2. As i ran it over and over, more points were added to the point cloud, but only in the same areas shown above in the original image. i went from 42K points oto 56K points, and in the PLY file, no point goes farther than the original bounds of the image above.
DensifyPointCloud scene.mvs --fusion-mode -1 && DensifyPointCloud scene.mvs --fusion-mode -2 to match that of the documentation, This was a failed test as the point cloud was scattered
--number-views 0 - the point cloud point count was less than the original
I've looked at the dataset and I think the problem here is the camera poses. The raw version are too noisy, while the corrected ones are wrong. So in order to improve this dense reconstruction you need first to estimate correct poses. Try COLMAP or OpenMVG, however the images and the acquisition pattern are very difficult, so I do not have high hopes. Try capturing better photos appropriate for photogrammetry (tons of tutorials online)
I'm following the Polycam example and am using an export of a stairwell room. After running the interface and Densify point clound, i still seem to be missing a lot of points. this is causing the meshes and textures to be incomplete compared to that of Polycam. Thisis the case for a few other scans i've run.
Could you help me understand what steps i can take to fill in more points and get us closer to the polycam result?
I've tried:
--number-views
--max-resolution
--tower-mode
as well as different tower mode flagsDensifyPointCloud
multiple timesSample Dataset is here on GDrive - stairwell-poly.zip.
Inside it there is a folder called
working/job
which has the logs and all the work done for the particular scan shown below.Here is the GLB file exported from polycam to show the result (We will be doing obj, but gltb is free:) )
Command flow i typically use
Although this is the full flow, my assumption is the issue is closer to the DensifyPointCloud and i am missing a flag or additional workflow?
Comparison
This is a comparison of what openmvs produces to polycam when using the pipeline above...
Please let me know if i should try something different or if something stands out so that we can get closer to the Polycam result.
Thanks!
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